Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. A method of processing video information, the method comprising: capturing video data by a single camera of a source electronic device, to obtain original captured video data; streaming the original captured video data from the source electronic device in real-time to a cloud-based video processing system for analysis; receiving, at the source electronic device, a command that is communicated by the cloud-based video processing system in response to determining that a segment of video content conveyed by the original captured video data does not satisfy predetermined video quality criteria; in response to receiving the command, suspending streaming of the original captured video data from the source electronic device, and suspending video capturing operation by the single camera of the source electronic device; and receiving, at the source electronic device, an edited version of the original captured video data as processed by the cloud-based video processing system.
This invention relates to real-time video processing systems that enhance video quality by leveraging cloud-based analysis and automated corrections. The method involves capturing video data using a single camera on a source electronic device, such as a smartphone or camera, to generate original video footage. The captured video is streamed in real-time to a cloud-based video processing system, which analyzes the video content for quality issues. If the cloud system detects a segment of the video that fails to meet predetermined quality criteria—such as poor lighting, blurriness, or composition flaws—it sends a command back to the source device. Upon receiving this command, the source device temporarily stops streaming the video and halts further video capture by the camera. The cloud system then processes the original video data to correct the identified issues, generating an edited version. Once processing is complete, the edited video is sent back to the source device. This approach ensures that only high-quality video segments are retained, reducing storage and bandwidth usage while improving overall video output. The system automates quality control, eliminating the need for manual review and editing.
2. The method of claim 1 , further comprising: analyzing sensor data generated by the source electronic device, the video data, or both the sensor data and the video data; wherein the determining is based on the analyzing.
This invention relates to a method for analyzing data from electronic devices to enhance decision-making processes. The method involves collecting sensor data from a source electronic device, video data, or both, and analyzing this data to determine a specific outcome. The analysis is used to inform the determination process, ensuring that decisions are based on comprehensive data inputs. The method is designed to improve the accuracy and reliability of automated decision-making systems by leveraging multiple data sources. The analysis step involves processing the collected data to extract relevant information, which is then used to make informed determinations. This approach is particularly useful in applications where real-time data analysis is critical, such as in surveillance, autonomous systems, or industrial monitoring. By integrating sensor and video data, the method provides a more robust and context-aware decision-making framework. The invention addresses the challenge of making accurate determinations in dynamic environments by utilizing a combination of data sources to enhance the decision-making process.
3. The method of claim 1 , further comprising: marking the video data to identify the segment of video content.
A method for processing video data involves analyzing the video to detect a segment of video content that meets specific criteria, such as a predefined duration or a particular type of content. The method further includes marking the identified segment within the video data to distinguish it from other segments. This marking may involve adding metadata, tags, or other identifiers to the video data to facilitate subsequent processing, editing, or retrieval of the segment. The method may also include extracting the marked segment from the video data for further use, such as editing, sharing, or analysis. The detection of the segment may be based on visual, audio, or contextual features within the video, and the marking process ensures that the segment can be easily located and manipulated. This approach is useful in applications where specific portions of video content need to be identified and managed separately from the rest of the video.
4. The method of claim 1 , further comprising: identifying the segment of video content in supplemental data corresponding to the video data.
This invention relates to video content analysis, specifically methods for identifying and processing segments of video data using supplemental data. The problem addressed is the need to accurately locate and analyze specific segments within video content, particularly when supplemental data (such as metadata, timestamps, or external references) is available to aid in this identification. The method involves analyzing video data to detect one or more segments of interest, such as scenes, objects, or events. Once detected, the method further includes identifying the corresponding segment in supplemental data that relates to the video data. This supplemental data may include metadata, timestamps, or other external references that provide additional context or details about the video content. By cross-referencing the detected segments with the supplemental data, the method ensures precise alignment and correlation between the video segments and their associated supplemental information. This enables more accurate analysis, indexing, or retrieval of video content based on the identified segments and their corresponding supplemental data. The approach is particularly useful in applications like video editing, content moderation, or automated video summarization where precise segmentation and contextual information are critical.
5. The method of claim 1 , further comprising: identifying the segment of video content in metadata corresponding to the video data.
This invention relates to video content analysis, specifically identifying and processing segments of video data using metadata. The method involves analyzing video data to detect segments of interest, such as scenes, objects, or events, and then associating these segments with metadata that describes their content. The metadata may include timestamps, labels, or other identifiers that help categorize or retrieve the segments. Additionally, the method includes extracting the identified segments from the video data based on the metadata, allowing for targeted processing, editing, or retrieval of specific portions of the video. This approach improves efficiency in video analysis by leveraging metadata to quickly locate and manipulate relevant segments without manual review. The invention is useful in applications like video indexing, content-based retrieval, and automated editing, where precise segmentation and metadata association are critical for accurate and efficient video processing.
6. A mobile electronic device comprising: a single camera configured to capture video data, to obtain original captured video data; a processor component; and a computer storage medium operatively associated with the processor component, the computer storage medium comprising executable instructions that, when executed by the processor, cause the processor to perform a method comprising: streaming the original captured video data from the mobile electronic device in real-time to a cloud-based video processing system for analysis; receiving, at the mobile electronic device, a command that is communicated by the cloud-based video processing system in response to determining that a segment of video content conveyed by the original captured video data does not satisfy predetermined video quality criteria; in response to receiving the command, suspending streaming of the original captured video data from the mobile electronic device, and suspending video capturing operation by the single camera of the mobile electronic device; and receiving, at the source electronic device, an edited version of the original captured video data as processed by the cloud-based video processing system.
This invention relates to mobile electronic devices equipped with a single camera for capturing video data. The problem addressed is ensuring video quality by leveraging cloud-based processing to analyze and correct video content in real-time. The device includes a camera, a processor, and a storage medium with executable instructions. The camera captures video data, which is streamed in real-time to a cloud-based video processing system for analysis. If the cloud system detects a segment of the video that fails to meet predetermined quality criteria, it sends a command to the mobile device. Upon receiving this command, the device suspends both the streaming of the original video data and the camera's video capture operation. The cloud system then processes the video to correct quality issues and sends an edited version back to the mobile device. This approach ensures that only high-quality video content is retained, reducing storage and bandwidth usage while improving the overall video experience. The system automates quality control, eliminating the need for manual intervention during video capture.
7. A method of processing video information, the method comprising: capturing video data by a single camera of a source electronic device, to obtain original captured video data; streaming the original captured video data from the source electronic device to a cloud-based video processing system for analysis; determining, with the cloud-based video processing system, that a segment of video content conveyed by the video data does not satisfy predetermined video quality criteria; in response to the determining, communicating a command from the cloud-based video processing system to the source electronic device; in response to receiving the command at the source electronic device, suspending transmission of the original captured video data from the source electronic device, and suspending video capturing operation by the single camera of the source electronic device; and receiving, at the source electronic device, an edited version of the original captured video data as processed by the cloud-based video processing system.
This invention relates to video processing systems that enhance video quality by dynamically adjusting capture and transmission based on real-time analysis. The system addresses the problem of transmitting low-quality video segments, which waste bandwidth and processing resources. A single camera on a source device captures video data, which is streamed to a cloud-based video processing system for analysis. The cloud system evaluates the video quality of each segment against predefined criteria. If a segment fails to meet these criteria, the cloud system sends a command to the source device, instructing it to pause both video capture and transmission. The source device then receives an edited version of the original video data, processed by the cloud system to improve quality. This approach ensures only high-quality video is transmitted, optimizing bandwidth and computational efficiency. The system dynamically adjusts capture and transmission in real-time, reducing unnecessary data transfer and improving overall video quality. The cloud-based analysis and remote control of the source device enable adaptive video processing without manual intervention.
8. The method of claim 7 , further comprising: analyzing sensor data generated by the source electronic device, analyzing the video data, or analyzing both the sensor data and the video data, wherein the determining is based on the analyzing.
This invention relates to systems for monitoring and analyzing electronic devices, particularly for detecting unauthorized access or tampering. The technology addresses the problem of ensuring the security and integrity of electronic devices by continuously monitoring their operational state and detecting anomalies that may indicate unauthorized access or tampering. The method involves collecting sensor data from the source electronic device, which may include environmental sensors, motion sensors, or other monitoring components. Additionally, video data from a camera or other imaging device may be captured to provide visual context. The collected data is then analyzed to detect deviations from expected behavior, such as unusual movements, environmental changes, or unauthorized physical access. The analysis may involve comparing the sensor and video data against predefined thresholds or patterns to identify potential security breaches. The determination of whether unauthorized access or tampering has occurred is based on the analysis of the sensor data, the video data, or both. This allows for a comprehensive assessment of the device's security status, combining multiple data sources to improve accuracy and reliability. The method ensures that any suspicious activity is promptly identified, enabling timely intervention to prevent or mitigate security risks.
9. The method of claim 7 , further comprising: identifying the segment of video content in supplemental data corresponding to the video data.
This invention relates to video content processing, specifically to methods for analyzing and managing video data and associated supplemental data. The problem addressed involves efficiently identifying and correlating specific segments of video content with corresponding supplemental data, such as metadata, annotations, or additional contextual information. This is particularly useful in applications like video editing, content management, and automated analysis where precise alignment between video segments and their supplemental data is critical. The method involves processing video data to detect and extract relevant segments, such as scenes, objects, or events, within the video stream. Supplemental data, which may include timestamps, descriptions, or other contextual information, is then analyzed to locate and match the corresponding segment of video content. This ensures that the supplemental data accurately reflects the content of the video segment, enabling precise synchronization and retrieval. The method may also involve generating or updating the supplemental data based on the identified video segments, ensuring consistency and accuracy in the metadata. By correlating video segments with their supplemental data, the invention improves the efficiency and reliability of video content management systems. This is particularly valuable in applications requiring automated content analysis, such as video indexing, search, and recommendation systems, where accurate metadata is essential for effective operation. The method ensures that the supplemental data remains aligned with the video content, reducing errors and enhancing the overall usability of the system.
10. The method of claim 7 , further comprising: identifying the segment of video content in metadata corresponding to the video data.
This invention relates to video content processing, specifically methods for analyzing and managing video data. The technology addresses the challenge of efficiently identifying and accessing specific segments within video content, particularly when dealing with large datasets or automated processing systems. The method involves analyzing video data to detect and isolate distinct segments, such as scenes, shots, or other meaningful divisions, based on visual or temporal characteristics. Once identified, these segments are tagged or annotated with metadata to facilitate retrieval, editing, or further analysis. The metadata may include timestamps, descriptive labels, or other identifiers that correlate with the video data. Additionally, the method includes a step of cross-referencing the video data with its corresponding metadata to accurately locate and retrieve the identified segments. This ensures that the metadata remains synchronized with the video content, even if the video is edited or modified. The approach improves efficiency in video processing workflows by enabling precise segment-level operations, such as automated editing, content indexing, or targeted analysis. The invention is particularly useful in applications like video archiving, media production, and automated content moderation, where segment-level precision is critical.
Unknown
January 7, 2020
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